What is it about?
This comprehensive article examines how healthcare providers can effectively use AI language models through proper prompt engineering. It provides detailed templates and examples for common medical scenarios, discusses implementation challenges, and outlines best practices for using AI safely in healthcare settings. The article includes specific examples for handling various medical conditions and explains both direct chat interface and custom bot approaches.
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Why is it important?
This article bridges a critical knowledge gap in medical education by providing practical, hands-on guidance for healthcare professionals who want to use AI tools in their practice. It's particularly timely given the rapid adoption of AI in healthcare and the current lack of formal training in prompt engineering for medical professionals. The article provides actionable templates that clinicians can immediately implement while addressing crucial concerns about patient privacy and HIPAA compliance.
Perspectives
Our goal was to make prompt engineering accessible and practical for healthcare professionals. After working extensively in this field, I recognized that clinicians needed more than just theory - they needed actionable tools they could implement immediately. By developing these comprehensive templates for common medical conditions, we've created something that brings immediate value to clinical practice. We tried to demonstrate both direct chat and custom bot approaches, as this acknowledges the varying technical comfort levels among healthcare professionals. While there's always more to explore in this rapidly evolving field, I believe we've created a solid foundation for healthcare professionals to begin effectively and safely implementing AI tools in their practice.
Thomas F Heston MD
University of Washington
Read the Original
This page is a summary of: Prompt Engineering in Healthcare, Electronics, July 2024, MDPI AG,
DOI: 10.3390/electronics13152961.
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